P1: kNN Source Separation

Applying STFT with 1024 point frames and 50% overlap and by using Han Window

We can clearly see that the noise is suppressed in this case

P2: Motor Imagery

When we compare this graph with the M5 S37 Naive Bayes result then we can conclude that it is almost similar.

The performance by the binary variables classifier is good as there are no big performance drop and we got an accuracy value of 0.78 for K=13.0 and 0.75 for K=3.0.

P3: Multidimensional Scaling